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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Combinatorial Optimization
2407 directly classified papers
Papers per year
2002: 1
2004: 1
2005: 2
2006: 9
2007: 6
2008: 5
2009: 16
2010: 20
2011: 19
2012: 19
2013: 53
2014: 48
2015: 67
2016: 61
2017: 137
2018: 174
2019: 220
2020: 270
2021: 264
2022: 259
2023: 295
2024: 230
2025: 149
2026: 82
Papers
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
NIPS 2023
Optimal Seat Arrangement: What Are the Hard and Easy Cases?
IJCAI 2023
Optimization of Inter-group criteria for clustering with minimum size constraints
NIPS 2023
Combinatorial Group Testing with Selfish Agents
NIPS 2023
Fair Allocation of Indivisible Chores: Beyond Additive Costs
NIPS 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
AISTATS 2023
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
NIPS 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
ICML 2023
Memory-Constrained Algorithms for Convex Optimization
NIPS 2023
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
NIPS 2023
Learning To Dive In Branch And Bound
NIPS 2023
Causal Effect Identification in Uncertain Causal Networks
NIPS 2023
Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation
JMLR 2023
A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap
IJCAI 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
NIPS 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
NIPS 2023
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations
NIPS 2023
Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
ICML 2023
Revisiting Sampling for Combinatorial Optimization
ICML 2023
Free Lunch for Efficient Textual Commonsense Integration in Language Models
ACL 2023
Decipherment of Lost Ancient Scripts as Combinatorial Optimisation Using Coupled Simulated Annealing
ACL 2023
Partial Optimality in Cubic Correlation Clustering
ICML 2023
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
ICML 2023
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
ICML 2023
Speeding Up Bellman Ford via Minimum Violation Permutations
ICML 2023
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